How to learn AI with Red Hat

Whether you're just getting started with artificial intelligence or looking to deepen your knowledge, our hands-on tutorials will help you unlock the potential of AI while leveraging Red Hat's enterprise-grade solutions.

Learn AI with Red Hat learning paths

Learning paths are structured journeys that guide developers through hands-on activities and skill-building resources.

Learning Path OpenShift platform card
Make your AI infrastructure more efficient by partitioning AMD Instinct GPUs...
Learning Path Feature image for Red Hat OpenShift
Deploy Red Hat OpenShift Data Foundation (ODF), a unified data storage...
Learning Path Red Hat AI
This learning path explores running AI models, specifically large language...
Learning Path intro-to-OS-LP-feature-image
Learn how to use Red Hat OpenShift AI to quickly develop, train, and deploy...
Learning Path Extract-live-data-lp-feature-image
Explore the complete machine learning operations (MLOps) pipeline utilizing...
Learning Path TensorFlow-Onnx-LP-featured-image
Learn how to deploy a trained model with Red Hat OpenShift AI and use its...
Learning Path NodeJs-llm-lp-feature-image
Explore how to use large language models (LLMs) with Node.js by observing...
Learning Path Podman-AI-lab-LP-feature-image
Discover how you can use the Podman AI Lab extension for Podman Desktop to...

Learn AI with Red Hat interactive tutorials

Interactive tutorials are hands-on activities, focusing on a single topic.

Interactive Tutorial

Learn how to safely deploy and operate AI services without compromising on...

Interactive Tutorial

A practical example to deploy machine learning model using data science...

Interactive Tutorial

Event-driven Sentiment Analysis using Kafka, Knative and AI/ML

Interactive Tutorial

End-to-end AI-enabled applications and data pipelines across the hybrid cloud

Interactive Tutorial

A practical example to deploy machine learning model using data science...